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Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability

Description: Matlab codes associated with the method described in

P.-A. Thouvenin, N. Dobigeon and J.-Y. Tourneret - Online Unmixing of Multitemporal Hyperspectral Images Accounting for Spectral Variability, IEEE Trans. Image Processing, vol. 25, no. 9, pp. 3979-3990 Sep. 2016.

Author: P.-A. Thouvenin, pierreantoine[dot]thouvenin[at]gmail[dot]com

Experiments: to run a representative example of the experiment on real data reported in the article, configure and run the main.mscript.

Dependencies: the present codes includes MATLAB functions described in the following publications, and developed by their authors.

[1] J. M. Nascimento and J. M. Bioucas-Dias - Vertex component analysis: a fast algorithm to unmix hyperspectral data, IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 898--910, Apr. 2005.

[2] J. M. Bioucas-Dias and M. A. T. Figueiredo - Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing, Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process.: Evolution in Remote Sens. (WHISPERS)., Reykjavik, Iceland, Jun. 2010.

[3] J. M. Bioucas-Dias - A variable splitting augmented Lagrangian approach to linear spectral unmixing, Proc. IEEE GRSS Workshop Hyperspectral Image Signal Process.: Evolution in Remote Sens. (WHISPERS)., Grenoble, France, Aug. 2009.

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